General Four-Component Scattering Power Decomposition With Unitary Transformation of Coherency Matrix
General Four-Component Scattering Power Decomposition With Unitary Transformation of Coherency Matrix
复制标题
DOI：
10.1109/tgrs.2012.2212446
复制
发表时间：
2013-05-01
影响因子：
8.2
通讯作者：
Park, Sang-Eun
中科院分区：
文献类型：
--
作者：
Singh, Gulab;Yamaguchi, Yoshio;Park, Sang-Eun
通过对极化相干矩阵进行酉变换，提出了一种新的四分量散射功率分解方法。对于极化信息的二阶统计量，在3 × 3相干矩阵中存在9个真实的独立观测参数。该方法考虑了新方案中的所有观测参数。已知的是，现有的四分量分解方法通过旋转相干矩阵将观测参数的数量从九个减少到八个，并且它考虑了八个参数中的六个参数，留下两个参数（即，T-13分量的真实的和虚部）。通过对该旋转相干矩阵进行额外的特殊酉变换，可以将独立参数的数量从8个减少到7个。在酉变换之后，执行新的四分量分解，其考虑相干矩阵中的所有参数，包括剩余的T-13分量。因此，所提出的方法充分利用极化信息的分解。分解还采用了扩展的体积散射模型，该模型区分由交叉极化HV分量引起的偶极和二面角散射结构之间的体积散射。结果发现，新方法提高了双反弹散射的贡献在城市地区相比，现有的四个组件的分解，从充分利用极化信息，这需要高度改进的收购的交叉极化HV组件以上的噪声本底。
This paper presents a new general four-component scattering power decomposition method by implementing a set of unitary transformations for the polarimetric coherency matrix. There exist nine real independent observation parameters in the 3 x 3 coherency matrix with respect to the second-order statistics of polarimetric information. The proposed method accounts for all observation parameters in the new scheme. It is known that the existing four-component decomposition method reduces the number of observation parameters from nine to eight by rotation of the coherency matrix and that it accounts for six parameters out of eight, leaving two parameters (i.e., the real and imaginary parts of T-13 component) unaccounted for. By additional special unitary transformation to this rotated coherency matrix, it became possible to reduce the number of independent parameters from eight to seven. After the unitary transformation, the new four-component decomposition is carried out that accounts for all parameters in the coherency matrix, including the remaining T-13 component. Therefore, the proposed method makes use of full utilization of polarimetric information in the decomposition. The decomposition also employs an extended volume scattering model, which discriminates volume scattering between dipole and dihedral scattering structures caused by the cross-polarized HV component. It is found that the new method enhances the double-bounce scattering contributions over the urban areas compared with those of the existing four-component decomposition, resulting from the full utilization of polarimetric information, which requires highly improved acquisitions of the cross-polarized HV component above the noise floor.